Determinants of human resource information system actual usage

Human resource information system (HRIS) is an integrated part of modern organizations and has become increasingly important in managing organizations’ human resource effectively. The actual use of HRIS occurs in the integration level of a system, where innovation becomes ubiquitous and members of an organization utilize it efficiently in their daily lives. However, there are very few studies on determinants of actual use of HRIS especially in the health care sector and in other private organizations. This study aims to identify the critical success factors influencing actual use of HRIS. In addition, the study also seeks to investigate the degree of influence of those factors on actual use of HRIS in the Malaysian private health care sector. A conceptual model was proposed, integrating the diffusion of innovation (DOI) theory, technology-organization-environment (TOE) framework and technology acceptance model (TAM). The research model consists of six constructs comprising relative advantage, complexity, compatibility, management commitment, perceived resources and training. A quantitative research approach was used to acquire data using adapted questionnaires based on previous studies. A survey was carried out among 114 nurses of Pasir Gudang Specialist Hospital, a branch of one of Malaysia’s leading private health care service provider. Multiple regression analysis was used to analyze the data. Results from the analysis showed that only organizational support has a significant degree of influence on the actual use of HRIS. Findings from this study support that the actual use of HRIS can be ensured if organizational support is continuous throughout the post adoption phase. The results of this study could assist organizations in their adoption of HRIS effectively and ensure efficient usage of the system

The Meaningful Use of Cloud Computing in Healthcare

This dissertation focuses on the meaning of cloud computing for healthcare and its meaningful use in the healthcare industry. If used in a meaningful way, cloud computing is argued to be able to provide major benefits to the healthcare industry. Surprisingly, the benefits promised by using cloud computing often do not hold in practice, and the deployment of cloud computing services in healthcare organizations could lead to countereffects for healthcare. Although existing research studies cover a wide range of domains in healthcare, they often do not explain the way in which cloud computing could support healthcare in a systematic manner. In reply to that insufficiency in the research, this dissertation aims to investigate the phenomenon of cloud computing in healthcare organizations and to answer the following overarching research question: How can cloud computing support healthcare organizations in a meaningful way (i.e., meaningful use)? This dissertation conducted four research studies by employing established explorative research methods. The dissertation begins with a study (study 1) that investigates the basic properties of cloud computing services and their specific meanings for the healthcare industry, and suggests concrete directions for studies related to the meaningful use of cloud computing in healthcare. Study 2 focuses on the identification of industry-specific factors for the adoption of cloud computing services in healthcare, and studies 3 and 4 on an investigation of the way in which cloud computing supports collaborative activities in healthcare, respectively. Both focuses belong to research directions suggested by study 1. By addressing the overarching research question, this dissertation could deepen our understanding of the use of information technology (IT) artefacts that advances information systems theories, not only regarding cloud computing itself but also in terms of more general health IT levels

Evaluating the factors that influence cloud technology adoption�comparative case analysis of health and non-health sectors: A systematic review

Cloud technology has brought great benefits to the health industry, including enabling improvement in the quality of services. The objective of this review study is to investigate the reported factors affecting the adoption of cloud in the health sector by comparing studies in the health and non-health sectors. This article is a systematized review of studies conducted in 2018. From 541 articles, 47 final articles were selected and classified into two categories: health and non-health studies; conclusions were drawn from the two sectors by comparing their effective factors. Based on the results of this review, the factors were categorized as technological, organizational, environmental, and individual. The results of this review study could be a beneficial guide to the health empirical research on cloud adoption. Individual domains have not been examined in health sector studies. Since the process of adoption of new technologies in organizations is time-consuming, due to the lack of managerial knowledge about the efficient factors, recognition of these factors by decision-makers while planning for cloud adoption becomes of great importance. The findings of this review study aim to help health decision-makers by increasing their awareness of the cloud and of the factors that impact decisions at both the organizational and individual levels. © The Author(s) 2019

Development of implementation models for hospital information system (HIS) in Malaysian public hospitals

Studies have shown that Hospital Information System (HIS) implementation improve hospital’s management and activities in terms of cost and time reductions. However, there are only 15.2% out of 138 Malaysian Public Hospitals implemented HIS. Literatures have further highlighted various issues and challenges with regards to its implementation. Therefore, this study aimed to explore the implementation of THIS, IHIS and BHIS’s hospitals as well as factors affecting them. This study employed a mixed methods approach to answer the research objectives. In the first phase of this study, semi-structured interviews were conducted with nine participants consisted of the hospital directors, Information Technology officers and HIS users. It is found that THIS’s hospital implementation phases differed from IHIS and BHIS’s hospitals, while IHIS and BHIS’s hospitals have similar phases based on Business Interaction Phases of Business Action Theory. Human context was discovered to play important roles in the HIS implementation. A survey was conducted in the second phase of this study among HIS users at different categories of HIS’s hospitals. Two hundred and twenty-nine questionnaires were returned to yield a response rate of 45.8%. Based on ANOVA findings, factors affecting THIS implementation were significantly different from those in IHIS and BHIS’s hospitals. There was no significance different between IHIS and BHIS’s hospitals. There are three major contributions of this study: 1) Distinctive implementation phases for THIS hospital and IHIS-BHIS hospital were discovered for HIS implementation. 2) New models of HIS implementation which highlight the Human context were proposed, and 3) Different factors were found to affect HIS implementation at different types of HIS’s hospitals

Development and Evaluation of a Holistic Framework and Maturity Assessment Tools for Data Governance in Cloud Computing Environments

Cloud computing is an emerging technology that is changing the way that public sector organisations consume Information and Communication Technology (ICT) in different countries. The adoption rate of cloud computing services is still very low to none in many countries. Saudi Arabia, for instance, despite their huge investments in the Digital Transformation, as part of the recent Vision 2030, the loss of governance and control of data is one of their major barriers facing the adoption of cloud computing services. Cloud Data Governance, is not only a Saudi concern, it is actually a worldwide challenge, which is under researched and mostly not practiced. This research attempted, for the first time to unlock this challenge in Saudi Arabia, more specifically, for the Public Sector, by advancing research in this field and proposing means by which Cloud Data Governance programmes can be implemented. In this research, existing data governance frameworks were analysed – these frameworks were limited as they lacked consideration of the cloud computing perspective. Hence, the purpose of this research is to develop a generalised Strategy Framework that can be utilised to design, deploy and sustain an effective cloud data governance programme; it also aims to provide knowledge for organisations that wish to apply a cloud data governance programme, to empower them to control their data in cloud environments. Understanding data governance taxonomy and its key dimensions for non-cloud and cloud computing was an important step in developing the proposed Framework. To support the development of the proposed Framework, the Analytic Theory and concept of Critical Success Factors (CSFs) were adopted. The Framework includes a number of complex operations, therefore, to ensure an effective Cloud Data Governance programme, organisations need to have means by which they can assess their current state and define their requirements. To facilitate this, a Maturity Model was proposed together with an Assessment Matrix. The proposed Framework and Maturity Model alongside the Assessment Matrix, were then validated and evaluated for the Public Sector in Saudi Arabia, as a Case Study. Mixed research methods, Qualitative and Quantitative, were adopted for this purpose, where the State of the Art of cloud adoption, data governance and cloud data governance, in the Saudi Public Sector were all analysed. Moreover, a number of Barriers and Critical Success Factors were identified for the case study. For validation purposes, the Focus Group approach was adopted, with appropriate representations from the Saudi Public Sector. The Structural Equation Modelling was adopted for the evaluation of the proposed Framework, using quantitative results from the questionnaire. The Evaluation of the Assessment Matrix was done by developing a Tool, which allows organisations to identify their levels of maturity for cloud data governance programmes, and define requirements for target levels